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Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University

4.6
stars
33,934 ratings

About the Course

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
Highlights
Foundational tools

(243 Reviews)

Introductory course

(1056 Reviews)

Top reviews

LR

Sep 7, 2017

It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.

SF

Apr 14, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

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6976 - 7000 of 7,152 Reviews for The Data Scientist’s Toolbox

By Dennis W

Feb 21, 2016

Very introductory. This material could have been compressed into 1 week.

By Laura B

May 1, 2022

Robot voice was uninteresting to learn with. Had to go Youtube to learn.

By Arun R

Jan 7, 2019

Very basic - Did not teach all the necessary things required with Git.

By Hugo R

Sep 28, 2017

Isn't very usefull, I'm impatient to start the R programming courses.

By HARSH K S

May 27, 2020

This course is not much interactive because it includes boots voice.

By Neil J

Jun 16, 2016

Extraordinarily basic. Entire thing can be done in about two hours.

By Ng Z J

Mar 18, 2016

Might be useful for total newbies, but this was very simple for me.

By Rose G

Jul 11, 2019

Not that interesting, but gives you the basis to install R and git

By Amir N

Jun 21, 2017

A little bit vague, could use more practice using git and git hub.

By Kristin N

Jun 7, 2016

Jumps around, doesn't put anything into "real world" examples.

By Moreno T

Nov 5, 2023

Very light, and sould not be a part of a data science course

By James C

Jan 7, 2018

Very high-level discussion of data science and useful tools.

By Matthew C

Jun 30, 2017

Too easy and doesn't really prepare you for the next course.

By Martin M

Sep 23, 2020

Content is ok, but I really do not like the computer voice.

By Kevin R

Aug 23, 2023

Information not updated, install methods no longer correct

By Daniel Z

Aug 25, 2021

If you love robot voicing, then you will love this course.

By Gustavo M

Dec 30, 2016

Only informative. Not worth it outside the specialization.

By Freddie K

Aug 12, 2016

Very shallow overview, not really a full course I'd say.

By Marek D

Mar 7, 2016

Nice introduction but actually very little content

By samir A

Oct 22, 2021

doesn't emphasize on understanding concepts!?

By Shyam D

Jun 27, 2019

exercises given don't follow the course line

By guruprasad d

Apr 11, 2020

Not able to get a start with Robotic Voice.

By Rebecca P

Jun 27, 2016

This course is not very "beginner friendly"

By Yodalys A

Jan 2, 2022

I do not like how the videos were created.

By Selina H

Apr 12, 2016

It's more a preview than an actual class.